Register Your Interest - Data Analyst Higher Apprenticeship

Collect, organise and study data to provide business insight.

Occupational summary

Data analysts ascertain how data can be used in order to answer questions and solve problems. Data analysis is a process of requirement-gathering, inspecting, cleansing, transforming and modelling data with the goal of discovering useful information, informing conclusions and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names. In today’s world, data analysis plays a crucial role in making decisions more evidence-based and helping organisations operate more effectively.

Knowledge

• Develop an understanding of relevant legislation and organisational policies for the safe and secure use of data.
• Learn the principles of the data life cycle, types of data, and the differences between structured and unstructured data.
• Understand data structures, database design, and user experience in the context of analytics.
• Identify data quality risks and know how to address them, define customer requirements, and combine data from multiple sources.
• Learn statistical principles, analytical methods, organisational tools, data architecture, and the ethical considerations involved in data use.

Skills

• Demonstrate the ability to use data systems securely and in line with legal and organisational standards.
• Carry out all stages of the data analysis lifecycle, applying data classification, statistical methods, and predictive analytics.
• Analyse varied data structures, assess the impact of user experience, and address quality risks.
• Gather and apply customer requirements, evaluate data sources, and follow architectural standards.
• Use a range of analytical techniques to identify trends and patterns, convert data into clear visual outputs, and choose the most suitable tools for each task.
• Communicate effectively with internal and external stakeholders.

Behaviours

• Display professionalism by maintaining a secure and productive work environment.
• Take initiative, solve problems within their remit, and work both independently and with others.
• Approach tasks logically and analytically, identifying root causes and lasting solutions.
• Be resilient, learning from setbacks, and adaptable to changes in projects, organisational direction, or their role.

Entry requirements

• Speak to ATAC to determine which level will be most suitable depending on prior experience and qualifications.

Progression routes

• Successful apprentices can progress onto higher-level data apprenticeships.

Key information

• Level (At end of programme): Level 4
• Maximum Duration: 14 months
• Available Funding: £15,000 funding band maximum available through the Apprenticeship Levy. Employers that do not pay the Levy will fund 5% of the funding band maximum.

Who's it for?

• Targeted towards individuals that collect, interpret and analyse data as part of their regular working role.

Recommended training provider(s)

• Cambridge Spark

Start date

• TBC

Register Your Interest

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